G
Geza Joos
Researcher at McGill University
Publications - 522
Citations - 17365
Geza Joos is an academic researcher from McGill University. The author has contributed to research in topics: Pulse-width modulation & Power factor. The author has an hindex of 67, co-authored 514 publications receiving 15880 citations. Previous affiliations of Geza Joos include Université du Québec & École de technologie supérieure.
Papers
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Journal ArticleDOI
Supercapacitor Energy Storage for Wind Energy Applications
Chad Abbey,Geza Joos +1 more
TL;DR: In this article, the integration of a short-term energy storage device in a doubly fed induction generator design is considered to smooth the fast wind-induced power variations, which can also be used to reinforce the dc bus during transients, thereby enhancing its lowvoltage ride through capability.
Journal ArticleDOI
Real-Time Simulation of a Wind Turbine Generator Coupled With a Battery Supercapacitor Energy Storage System
Wei Li,Geza Joos,Jean Belanger +2 more
TL;DR: Methods to overcome the challenges of real-time simulation of wind systems, characterized by their complexity and high-frequency switching are discussed.
Proceedings ArticleDOI
The potential of distributed generation to provide ancillary services
TL;DR: In this article, the authors discuss the potential of distributed generation (DG) to provide some of these services, such as voltage sag compensation and harmonic filtering, and the implications on the design of the power converter interface are discussed.
Journal ArticleDOI
A Combined Wavelet and Data-Mining Based Intelligent Protection Scheme for Microgrid
TL;DR: Test results indicate that the proposed relaying scheme can effectively protect the microgrid against faulty situations, including wide variations in operating conditions.
Journal ArticleDOI
Intelligent-Based Approach to Islanding Detection in Distributed Generation
TL;DR: The proposed technique uses the data-mining technology to extract information from the large data sets of these indices after they are screened off-line via massive event analyses using network simulations.